import matplotlib.pyplot as plt
import numpy as np
from matplotlib import cm
plt.style.use('_mpl-gallery')
n_radii = 8
n_angles = 36
# Make radii and angles spaces
radii = np.linspace(0.125, 1.0, n_radii)
angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)[..., np.newaxis]
# Convert polar (radii, angles) coords to cartesian (x, y) coords.
x = np.append(0, (radii*np.cos(angles)).flatten())
y = np.append(0, (radii*np.sin(angles)).flatten())
z = np.sin(-x*y)
# Plot
fig, ax = plt.subplots(subplot_kw={'projection': '3d'})
ax.plot_trisurf(x, y, z, vmin=z.min() * 2, cmap=cm.Blues)
ax.set(xticklabels=[],
yticklabels=[],
zticklabels=[])
plt.show()
Example of matplotlib plot_trisurf
import seaborn as sns
sns.set_theme(style="whitegrid")
# Load the example planets dataset
planets = sns.load_dataset("planets")
cmap = sns.cubehelix_palette(rot=-.2, as_cmap=True)
g = sns.relplot(
data=planets,
x="distance", y="orbital_period",
hue="year", size="mass",
palette=cmap, sizes=(10, 200),
)
g.set(xscale="log", yscale="log")
g.ax.xaxis.grid(True, "minor", linewidth=.25)
g.ax.yaxis.grid(True, "minor", linewidth=.25)
g.despine(left=True, bottom=True)
<seaborn.axisgrid.FacetGrid at 0x27c7fbec450>
Example of seaborn Scatterplot
import plotly.express as px
import plotly.offline as offline
offline.init_notebook_mode()
df = px.data.gapminder().query("year == 2007")
fig = px.sunburst(df, path=['continent', 'country'], values='pop',
color='lifeExp', hover_data=['iso_alpha'])
fig.show()
A simple example of Plotly
| Graphing Libraries | icon |
|---|---|
| Matplotlib | Matplotlib makes easy things easy and hard things possible. |
| Seaborn | Seaborn is a Python data visualization library based on matplotlib. |
| Plotly Express | Interactive charts and maps for Python, R, Julia, Javascript, ggplot2, F#, MATLABĀ®, and Dash. |
